doctomodernbert-fr-incertain
Binary classifier (SUR / INCERTAIN) fine-tuned from doctolib-lab/doctomodernbert-fr-base.
- Input format:
<dp_chap> [SEP] <text> - Labels: generated by an LLM (Gemini), not human-annotated.
- Training data: synthetic only, no patient data.
- Test metrics (500 examples, INCERTAIN class): precision = 0.870, recall = 0.724, F1 = 0.790
- Accuracy: 0.844 (macro F1 0.833)
- Split: random stratified on dp_chap + label, so codes in the test set also appear in training.
- Limits: not validated on unseen codes; not for clinical decisions.
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Model tree for FoucauldE/doctomodernbert-fr-validator
Base model
doctolib-lab/doctomodernbert-fr-base